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市场调查报告书
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1880432

以慢性病管理为导向的物联网医疗生态系统市场预测至2032年:按设备类型、连接方式、性别、应用、最终用户和地区分類的全球分析

IoMT Ecosystem for Chronic Care Market Forecasts to 2032 - Global Analysis By Device Type, Connectivity, Application, End User, and By Geography

出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的研究,全球用于慢性病管理的 IoMT 生态系统市场预计到 2025 年价值 1,094 亿美元,预计到 2032 年将达到 3,699 亿美元,在预测期内以 19% 的复合年增长率增长。

用于慢性病管理的物联网医疗(IoMT)生态系统由互联的医疗设备、穿戴式装置、感测器和软体平台组成,这些设备持续监测患者健康状况、传输数据,并实现对慢性病的主动远端系统管理。透过将即时患者数据与医疗服务提供者网路集成,物联网医疗能够实现早期疗育、个人化的治疗策略、降低住院率,并优化慢性病管理中的资源配置。

根据美国食品药物管理局(FDA) 数位健康卓越中心的说法,互联的 IoMT 设备将产生持续的数据流,使人工智慧能够预测和预防糖尿病和心臟衰竭患者在家中的急性发作。

加速采用持续性疾病管理

随着病患、医疗服务提供者和支付方纷纷接受针对慢性病的互联互通的诊疗路径,持续疾病管理模式的加速普及正在改变着医疗物联网(IoMT)的格局。持续监测能够实现早期疗育,减少住院次数,并支持个人化治疗方案的调整。医疗系统正越来越多地部署配备感测器的可穿戴设备、智慧诊断设备和远端生物标记追踪器,以维持长期的健康监测。这种向持续诊疗模式的转变将显着扩大IoMT的应用范围,并加强慢性疾病患者群体中以设备主导的、强有力的参与。

物联网医疗互通性框架的碎片化

物联网互通性框架的分散化促使各公司加强设备和平台之间的相容性,同时也推动了对标准化通讯协定的投资。儘管不同的资料模型增加了整合的复杂性,但也促进了统一API、安全中间件层和跨厂商互通性的发展。这些进步正在建立一个更具凝聚力的生态系统,并实现慢性病护理工作流程中的无缝资料交换。随着协调性的提高,市场将受益于更顺畅的多设备整合和更高的临床应用率。

人工智慧驱动的慢性病管理的发展

人工智慧驱动的慢性病管理技术的快速发展为预测风险评分、自动化趋势分析和智慧治疗支援提供了巨大的机会。人工智慧增强的物联网医疗设备能够检测细微的生理波动,从而实现对糖尿病、慢性阻塞性肺病和心血管疾病等疾病的早期疗育。这些功能将增强医护人员对远端医疗模式的信心,同时也将促进病患的参与。随着演算法的日益完善,人工智慧增强的慢性病照护生态系统有望成为现代医疗保健基础设施的核心支柱。

大规模医疗保健资料外洩事件的增加

为因应全球医疗保健资料外洩事件的日益增多,网路安全强化型医疗物联网(IoMT)架构的投资正在加速成长。这种日益增长的关注度正推动供应商采用生物识别、硬体安全防护和端到端加密技术。增强的隐私控制将提升医疗机构在实施慢性病管理网路时的信任度。在法规结构日益严格的背景下,製造商正透过安全设计平台实现差异化竞争,从而确保分散式病患监测系统的资料安全。

新冠疫情的影响:

感染疾病显着加速了物联网医疗(IoMT)在慢性病管理的应用,医疗系统纷纷扩展远距离诊断、数位化分流和居家监测。长期病患者越来越依赖连网设备来避免前往医疗机构,从而推动了持久的行为改变。医疗服务提供者扩展了虚拟医疗基础设施,并将物联网医疗数据整合到临床决策流程中。这种需求的激增为以设备为中心的慢性病管理生态系统注入了持续动力,并凸显了分散式医疗服务的重要性。

预计在预测期内,远端监控设备细分市场将占据最大的市场份额。

由于穿戴式装置、生物感测器和连网诊断设备在慢性病管理中的广泛应用,预计远端监测设备领域将在预测期内占据最大的市场份额。这些设备能够提供持续的生理数据、简化追踪流程并支持基于风险的干预措施,从而不断强化其在慢性病诊疗路径中的作用。医疗系统和保险公司对这些设备的日益普及进一步巩固了该领域在数位化医疗模式中的主导地位。

预计在预测期内,低功耗蓝牙(BLE)细分市场将呈现最高的复合年增长率。

预计在预测期内,低功耗蓝牙 (BLE) 细分市场将实现最高成长率,这主要得益于其超低功耗、与智慧型手机的无缝整合以及在以患者为中心的医疗设备中日益重要的作用。 BLE 连线增强了即时资料传输,同时延长了穿戴式感测器的电池续航时间。其经济实惠的价格和全球相容性使其成为扩展医疗物联网 (IoMT) 生态系统、为大规模慢性病患者提供医疗服务的首选方案。

占比最大的地区:

预计亚太地区将在预测期内占据最大的市场份额,这主要得益于慢性病患病率的上升、数位医疗领域的快速投资以及政府主导的远端医疗倡议。中国、印度、日本和韩国远距医疗技术的日益普及正在推动物联网医疗(IoMT)的渗透。大规模的患者群体和行动医疗使用量的不断增长进一步巩固了该地区在互联慢性病管理领域的主导地位。

年复合成长率最高的地区:

由于监管机构对数位疗法的大力支持、人工智慧增强型监测设备的快速普及以及不断扩大的医保报销管道,预计北美地区在预测期内将实现最高的复合年增长率。高技术成熟度和成熟的医疗资讯科技生态系统正在加速慢性病照护网路中物联网医疗平台的普及。医疗设备製造商和数位医疗公司的持续创新也进一步推动了这一发展势头。

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目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 研究途径
  • 研究材料
    • 原始研究资料
    • 次级研究资讯来源
    • 先决条件

第三章 市场趋势分析

  • 介绍
  • 司机
  • 抑制因素
  • 机会
  • 威胁
  • 应用分析
  • 终端用户分析
  • 新兴市场
  • 新冠疫情的影响

第四章 波特五力分析

  • 供应商的议价能力
  • 买方的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球慢性病管理物联网生态系统市场(依设备类型划分)

  • 介绍
  • 远端监控设备
  • 穿戴式健康追踪器
  • 智慧药品发放器
  • 联网诊断工具
  • 家用医疗设备

6. 全球慢性病管理物联网生态系统市场-连结性与性别

  • 介绍
  • 低功耗蓝牙
  • 支援Wi-Fi的系统
  • 蜂窝物联网医疗解决方案
  • LoRaWAN 和 LPWAN 平台
  • 云端同步的物联网医疗网络

7. 全球物联网医疗生态系统市场(慢性病管理应用)

  • 介绍
  • 糖尿病管理
  • 心臟监测
  • 呼吸系统疾病追踪
  • 慢性神经系统护理
  • 家庭康復

8. 全球慢性病管理物联网生态系统市场(依最终用户划分)

  • 介绍
  • 医院和诊所
  • 居家医疗提供者
  • 保险和健康保险
  • 诊断中心
  • 远端医疗服务供应商

9. 全球慢性病管理物联网生态系统市场(按地区划分)

  • 介绍
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 亚太其他地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十章:重大进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与併购
  • 新产品上市
  • 业务拓展
  • 其他关键策略

第十一章 企业概况

  • Philips
  • GE HealthCare
  • Medtronic
  • Dexcom
  • Siemens Healthineers
  • Abbott Laboratories
  • ResMed
  • Omron
  • Roche
  • Honeywell
  • BioTelemetry
  • Fitbit
  • AliveCor
  • Apple
  • Cerner
  • Epic Systems
  • Proteus Digital Health
Product Code: SMRC32471

According to Stratistics MRC, the Global IoMT Ecosystem for Chronic Care Market is accounted for $109.4 billion in 2025 and is expected to reach $369.9 billion by 2032 growing at a CAGR of 19% during the forecast period. The Internet of Medical Things (IoMT) ecosystem for chronic care comprises interconnected medical devices, wearables, sensors, and software platforms that continuously monitor patient health, transmit data, and facilitate proactive, remote management of chronic diseases. By integrating real-time patient data with healthcare provider networks, IoMT enables early intervention, personalized treatment strategies, reduced hospital admissions, and improved resource optimization in chronic disease management.

According to the FDA's Digital Health Center of Excellence, interconnected IoMT devices create continuous data streams for AI to predict and prevent acute episodes in diabetes and heart failure patients at home.

Market Dynamics:

Driver:

Accelerated adoption of continuous disease-management

Accelerated adoption of continuous disease-management models is reshaping the IoMT landscape as patients, providers, and payers embrace connected care pathways for chronic illnesses. Continuous monitoring enables earlier intervention, reduces hospitalizations, and supports personalized therapeutic adjustments. Healthcare systems are increasingly deploying sensorized wearables, smart diagnostics, and remote biomarker trackers to maintain longitudinal health oversight. This transition toward continuous care significantly expands IoMT utilization, reinforcing stable, device-driven engagement across chronic patient populations.

Restraint:

Fragmentation across IoMT interoperability frameworks

Fragmentation across IoMT interoperability frameworks is encouraging companies to strengthen device-to-platform compatibility while driving investment into standardized communication protocols. Although differing data models complicate integration, this challenge has spurred development of unified APIs, secure middleware layers, and cross-vendor interoperability coalitions. These advancements enhance ecosystem cohesion and facilitate seamless data exchange for chronic-care workflows. As harmonization improves, the market benefits from smoother multi-device orchestration and higher clinical adoption rates.

Opportunity:

Growth of AI-based chronic conditions

The rapid rise of AI-based chronic-condition management presents a major opportunity, enabling predictive risk scoring, automated trend analysis, and intelligent therapeutic support. AI-enhanced IoMT devices now detect subtle physiological deviations, enabling earlier interventions for conditions such as diabetes, COPD, and cardiovascular disorders. These capabilities strengthen provider confidence in remote care models while elevating patient engagement. As algorithmic sophistication grows, AI-augmented chronic-care ecosystems are expected to become central pillars of modern healthcare infrastructure.

Threat:

Rising incidence of large-scale healthcare data breaches

Rising global incidents of healthcare data breaches are prompting accelerated investment in cybersecurity-enhanced IoMT architectures. This heightened focus is pushing vendors to adopt biometric authentication, hardware-rooted security, and end-to-end encryption. Strengthened privacy controls elevate trust among healthcare organizations deploying chronic-care networks. As regulatory frameworks tighten, manufacturers increasingly differentiate through secure-by-design platforms, ensuring resilient data protection across distributed patient monitoring systems.

Covid-19 Impact:

Covid-19 significantly accelerated IoMT adoption for chronic-care management as healthcare systems scaled remote diagnostics, digital triage, and at-home monitoring. Patients with long-term conditions increasingly relied on connected devices to avoid in-facility visits, driving durable behavioral shifts. Providers expanded virtual-care infrastructure, integrating IoMT data into clinical decision workflows. This surge in demand established lasting momentum for device-centric chronic-care ecosystems and reinforced the importance of decentralized healthcare delivery.

The remote monitoring devices segment is expected to be the largest during the forecast period

The remote monitoring devices segment is expected to account for the largest market share during the forecast period, resulting from widespread deployment of wearables, biosensors, and connected diagnostics for long-term conditions. Their ability to deliver continuous physiological insights, streamline follow-ups, and support risk-based interventions strengthens their role in chronic-care pathways. Increasing adoption by health systems and insurance providers further solidifies this segment's dominance across digitally enabled care models.

The bluetooth low energy segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the bluetooth low energy segment is predicted to witness the highest growth rate, propelled by its ultra-low-power consumption, seamless smartphone integration, and expanding role in patient-centric medical devices. BLE connectivity enhances real-time data transmission while extending battery life for wearable sensors. Its affordability and global compatibility make it a preferred choice for scaling chronic-care IoMT ecosystems across large patient populations.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share, attributed to expanding chronic-disease prevalence, rapid digital-health investments, and government-backed telehealth initiatives. Growing adoption of remote-care technologies in China, India, Japan, and South Korea strengthens IoMT penetration. Large patient bases and increasing mobile-health usage further reinforce the region's leadership in chronic-care connectivity.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR associated with strong regulatory support for digital therapeutics, rapid adoption of AI-enhanced monitoring devices, and expanding reimbursement pathways. High technology readiness and mature healthcare IT ecosystems accelerate deployment of IoMT platforms across chronic-care networks. Continuous innovation from medical-device and digital-health companies further fuels this momentum.

Key players in the market

Some of the key players in IoMT Ecosystem for Chronic Care Market include Philips, GE HealthCare, Medtronic, Dexcom, Siemens Healthineers, Abbott Laboratories, ResMed, Omron, Roche, Honeywell, BioTelemetry, Fitbit, AliveCor, Apple, Cerner, Epic Systems, and Proteus Digital Health.

Key Developments:

In October 2025, Philips launched the Philips HealthSuite Chronic Care Platform, a unified IoMT ecosystem that integrates data from its wearable biosensors, smart inhalers, and home monitoring devices with the electronic health records from major providers, using AI to predict COPD and CHF exacerbations.

In September 2025, Medtronic introduced the NuCare Connect system, a suite of implantable cardiac device synchronizers and connected glucose monitors that automatically transmit patient data to a centralized clinician dashboard, enabling remote titration of therapy for diabetes and heart failure patients.

In August 2025, Dexcom unveiled its G7+ Ecosystem, which expands beyond glucose monitoring by integrating with Apple Watch and Fitbit to incorporate activity and sleep data, providing a more holistic view for diabetes management and automated insights for patients and caregivers.

Device Types Covered:

  • Remote Monitoring Devices
  • Wearable Health Trackers
  • Smart Medication Dispensers
  • Connected Diagnostic Tools
  • Home-Based Therapeutic Devices

Connectivities Covered:

  • Bluetooth Low Energy
  • Wi-Fi Enabled Systems
  • Cellular IoMT Solutions
  • LoRaWAN & LPWAN Platforms
  • Cloud-Synchronized IoMT Networks

Applications Covered:

  • Diabetes Management
  • Cardiac Monitoring
  • Respiratory Disease Tracking
  • Neurological Chronic Care
  • Home-Based Rehabilitation

End Users Covered:

  • Hospitals & Clinics
  • Home Healthcare Providers
  • Insurance & Health Plans
  • Diagnostic Centers
  • Telehealth Service Providers

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global IoMT Ecosystem for Chronic Care Market, By Device Type

  • 5.1 Introduction
  • 5.2 Remote Monitoring Devices
  • 5.3 Wearable Health Trackers
  • 5.4 Smart Medication Dispensers
  • 5.5 Connected Diagnostic Tools
  • 5.6 Home-Based Therapeutic Devices

6 Global IoMT Ecosystem for Chronic Care Market, By Connectivity

  • 6.1 Introduction
  • 6.2 Bluetooth Low Energy
  • 6.3 Wi-Fi Enabled Systems
  • 6.4 Cellular IoMT Solutions
  • 6.5 LoRaWAN & LPWAN Platforms
  • 6.6 Cloud-Synchronized IoMT Networks

7 Global IoMT Ecosystem for Chronic Care Market, By Application

  • 7.1 Introduction
  • 7.2 Diabetes Management
  • 7.3 Cardiac Monitoring
  • 7.4 Respiratory Disease Tracking
  • 7.5 Neurological Chronic Care
  • 7.6 Home-Based Rehabilitation

8 Global IoMT Ecosystem for Chronic Care Market, By End User

  • 8.1 Introduction
  • 8.2 Hospitals & Clinics
  • 8.3 Home Healthcare Providers
  • 8.4 Insurance & Health Plans
  • 8.5 Diagnostic Centers
  • 8.6 Telehealth Service Providers

9 Global IoMT Ecosystem for Chronic Care Market, By Geography

  • 9.1 Introduction
  • 9.2 North America
    • 9.2.1 US
    • 9.2.2 Canada
    • 9.2.3 Mexico
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 UK
    • 9.3.3 Italy
    • 9.3.4 France
    • 9.3.5 Spain
    • 9.3.6 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 Japan
    • 9.4.2 China
    • 9.4.3 India
    • 9.4.4 Australia
    • 9.4.5 New Zealand
    • 9.4.6 South Korea
    • 9.4.7 Rest of Asia Pacific
  • 9.5 South America
    • 9.5.1 Argentina
    • 9.5.2 Brazil
    • 9.5.3 Chile
    • 9.5.4 Rest of South America
  • 9.6 Middle East & Africa
    • 9.6.1 Saudi Arabia
    • 9.6.2 UAE
    • 9.6.3 Qatar
    • 9.6.4 South Africa
    • 9.6.5 Rest of Middle East & Africa

10 Key Developments

  • 10.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 10.2 Acquisitions & Mergers
  • 10.3 New Product Launch
  • 10.4 Expansions
  • 10.5 Other Key Strategies

11 Company Profiling

  • 11.1 Philips
  • 11.2 GE HealthCare
  • 11.3 Medtronic
  • 11.4 Dexcom
  • 11.5 Siemens Healthineers
  • 11.6 Abbott Laboratories
  • 11.7 ResMed
  • 11.8 Omron
  • 11.9 Roche
  • 11.10 Honeywell
  • 11.11 BioTelemetry
  • 11.12 Fitbit
  • 11.13 AliveCor
  • 11.14 Apple
  • 11.15 Cerner
  • 11.16 Epic Systems
  • 11.17 Proteus Digital Health

List of Tables

  • Table 1 Global IoMT Ecosystem for Chronic Care Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global IoMT Ecosystem for Chronic Care Market Outlook, By Device Type (2024-2032) ($MN)
  • Table 3 Global IoMT Ecosystem for Chronic Care Market Outlook, By Remote Monitoring Devices (2024-2032) ($MN)
  • Table 4 Global IoMT Ecosystem for Chronic Care Market Outlook, By Wearable Health Trackers (2024-2032) ($MN)
  • Table 5 Global IoMT Ecosystem for Chronic Care Market Outlook, By Smart Medication Dispensers (2024-2032) ($MN)
  • Table 6 Global IoMT Ecosystem for Chronic Care Market Outlook, By Connected Diagnostic Tools (2024-2032) ($MN)
  • Table 7 Global IoMT Ecosystem for Chronic Care Market Outlook, By Home-Based Therapeutic Devices (2024-2032) ($MN)
  • Table 8 Global IoMT Ecosystem for Chronic Care Market Outlook, By Connectivity (2024-2032) ($MN)
  • Table 9 Global IoMT Ecosystem for Chronic Care Market Outlook, By Bluetooth Low Energy (2024-2032) ($MN)
  • Table 10 Global IoMT Ecosystem for Chronic Care Market Outlook, By Wi-Fi Enabled Systems (2024-2032) ($MN)
  • Table 11 Global IoMT Ecosystem for Chronic Care Market Outlook, By Cellular IoMT Solutions (2024-2032) ($MN)
  • Table 12 Global IoMT Ecosystem for Chronic Care Market Outlook, By LoRaWAN & LPWAN Platforms (2024-2032) ($MN)
  • Table 13 Global IoMT Ecosystem for Chronic Care Market Outlook, By Cloud-Synchronized IoMT Networks (2024-2032) ($MN)
  • Table 14 Global IoMT Ecosystem for Chronic Care Market Outlook, By Application (2024-2032) ($MN)
  • Table 15 Global IoMT Ecosystem for Chronic Care Market Outlook, By Diabetes Management (2024-2032) ($MN)
  • Table 16 Global IoMT Ecosystem for Chronic Care Market Outlook, By Cardiac Monitoring (2024-2032) ($MN)
  • Table 17 Global IoMT Ecosystem for Chronic Care Market Outlook, By Respiratory Disease Tracking (2024-2032) ($MN)
  • Table 18 Global IoMT Ecosystem for Chronic Care Market Outlook, By Neurological Chronic Care (2024-2032) ($MN)
  • Table 19 Global IoMT Ecosystem for Chronic Care Market Outlook, By Home-Based Rehabilitation (2024-2032) ($MN)
  • Table 20 Global IoMT Ecosystem for Chronic Care Market Outlook, By End User (2024-2032) ($MN)
  • Table 21 Global IoMT Ecosystem for Chronic Care Market Outlook, By Hospitals & Clinics (2024-2032) ($MN)
  • Table 22 Global IoMT Ecosystem for Chronic Care Market Outlook, By Home Healthcare Providers (2024-2032) ($MN)
  • Table 23 Global IoMT Ecosystem for Chronic Care Market Outlook, By Insurance & Health Plans (2024-2032) ($MN)
  • Table 24 Global IoMT Ecosystem for Chronic Care Market Outlook, By Diagnostic Centers (2024-2032) ($MN)
  • Table 25 Global IoMT Ecosystem for Chronic Care Market Outlook, By Telehealth Service Providers (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.